• DocumentCode
    3350025
  • Title

    A polynomial-based key predistribution scheme for wireless sensor networks using matrix decomposition

  • Author

    Zheng, Hong ; Dai, Hangyang

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    1022
  • Lastpage
    1026
  • Abstract
    Key predistribution is one of the most challenging issues for secure communication in wireless sensor networks. But most of existing schemes are not scalable due to their linearly increased communication and key storage overhead. Furthermore, these protocols cannot provide sufficient security when the number of compromised nodes exceeds a critical value. In this paper, we propose a polynomial-based key predistribution scheme using matrix decomposition. Our scheme guarantees that any two sensor nodes can find a shared key between themselves. The analysis in this paper indicates that the existing schemes require a large number of keys in each sensor node to display a comparable connectivity as the proposed scheme which allows almost 100% connectivity regardless of the number of keys, and it develops an efficient encoding mechanism to optimize the network-wide storage usage. On the other hand, compared with existing schemes, our scheme has better performance in network resilience.
  • Keywords
    matrix decomposition; telecommunication traffic; wireless sensor networks; key storage overhead; matrix decomposition; polynomial-based key predistribution scheme; secure communication; wireless sensor networks; Authentication; Automation; Cryptography; Data security; Displays; Matrix decomposition; Military computing; Polynomials; Resilience; Wireless sensor networks; matrix decomposition; polynomial-based key predistribution; security; wireless sensor works;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1673-8
  • Electronic_ISBN
    978-1-4244-1674-5
  • Type

    conf

  • DOI
    10.1109/ICCIS.2008.4670785
  • Filename
    4670785